Enterprise AI Control Starts Here

AI Governance + LLM Firewall + Consent-Aware Data

Govern every AI interaction, protect sensitive data, and make customer data AI-ready through Clarip's unified AI Governance, Privacy Governance, Consent, and Data Mapping platform.

Clarip AI Hub is the strategic data control layer that sits between your enterprise systems and every AI model — discovering usage, monitoring calls, enforcing policies, and activating governed data for safe AI adoption.

Governance infrastructure for enterprise AI.

Clarip AI Hub is an enterprise AI gateway and governance layer — monitor activity, control model access, detect sensitive data, enforce policies, and activate governed data for approved AI use cases.

AI Discovery

Identify AI tools, applications, endpoints, and model usage across the enterprise.

AI Call Monitoring

Monitor prompts, API calls, and AI traffic across approved and unapproved services.

LLM Firewall / AI Gateway

Inspect AI-bound requests before data reaches external or internal models.

PII & Sensitive Data Detection

Detect personal, regulated, and high-risk data inside prompts, files, and API calls.

Policy Enforcement

Set policies for users, systems, models, regions, data categories, and use cases.

Rate Limiting & Usage Controls

Control AI usage by user, department, application, model, endpoint, or business purpose.

Alerts & Risk Workflows

Trigger alerts when unauthorized models, sensitive data, or policy violations are detected.

Consent-Aware AI Readiness

Activate the data that can be used, for the right purpose, under the right consent.

The new enterprise AI reality

AI adoption is moving faster than enterprise controls.

Enterprises are rapidly deploying AI across departments, vendors, copilots, agents, analytics tools, customer platforms, and internal applications. But most organizations still lack answers to basic questions about how AI is touching their data.

01 — Visibility
Where is AI being used?Most organizations have no inventory of AI tools, endpoints, or model calls across the enterprise.
02 — Models
Which models are systems calling?Employees and applications connect to public LLMs, vendors, and APIs without central oversight.
03 — Data
What data is being sent?Sensitive, regulated, and consent-restricted data is regularly included in prompts and payloads.
04 — Exposure
Is sensitive data being exposed?PII, customer data, and confidential content reach unapproved models without inspection or controls.
05 — Policy
Are AI calls compliant?AI traffic rarely aligns with privacy, security, legal, and business policies in real time.
06 — Audit
Can you prove what happened?Legacy DLP and security tools were never designed to govern prompts, model calls, or AI workflows.
AI Governance Automation.

Discover AI usage, monitor every call, enforce policies, prevent leakage, and activate governed, consented data — all from one platform.

See How It Works

The Clarip AI HUB.

The capabilities enterprises need to govern responsible AI: discovery, gateway enforcement, and sensitive data protection — all backed by Clarip's privacy and consent infrastructure.

AI Discovery

Find every AI tool, model, endpoint, and shadow workflow across the enterprise — before they become compliance or security incidents.

  • AI tool & model discovery
  • Endpoint & API visibility
  • Shadow AI detection
  • Approved vs. unapproved inventory
  • Department & vendor mapping
  • Model & use-case classification
Replace manual surveys and static inventories with continuous, live AI visibility.

LLM Firewall & AI Gateway

A control point between your systems and AI models. Inspect requests, evaluate the data, apply policies, and decide whether each interaction should be allowed, blocked, redacted, limited, or escalated.

  • LLM request inspection
  • Prompt filtering
  • Sensitive data blocking
  • Approved-model routing
  • Redaction & masking
  • Allow / block / review / alert
Built for AI-specific risks — sensitive data leakage, unsafe prompts, prompt injection, untrusted models.

Sensitive Data Protection

Prevent confidential, regulated, personal, or consent-restricted data from being sent to unapproved models or third-party AI systems.

  • PII detection in prompts & payloads
  • Sensitive data classification
  • Customer & employee data protection
  • Regulated & confidential data monitoring
  • Consent-restricted data controls
  • Full audit trail of decisions
Connects AI governance directly to privacy, data security, consent, and enterprise risk.
Policies, alerts & usage controls

Set policies for AI usage. Enforce them automatically.

Define and enforce AI policies across users, departments, systems, models, vendors, regions, and data categories — including which models are approved, which data can be used, and when human review is required.

Block PII to public LLMsPersonal data is automatically blocked from being sent to unapproved public models.
Approved-model routingAllow only approved models for customer support, marketing, or analytics workflows.
Review before regulated dataRequire human review before regulated data is used in any AI workflow.
Department rate limitsRate-limit high-volume AI calls by department, app, or business purpose.
Geographic restrictionsRestrict AI access by geography, role, or regulatory jurisdiction.
Real-time alertingAlert legal, privacy, or security teams the moment sensitive data appears in AI prompts.
AI-Ready Data

Make enterprise data AI-ready.

AI-ready data is not just clean data. It is governed, consented, mapped, permission-aware, and auditable. Clarip already understands these dimensions — so you can safely activate governed data inside AI systems.

Strategic Positioning

The connective tissue between data, consent, privacy, and AI.

Clarip connects AI governance with consent records, customer permissions, regulatory obligations, data maps, and enterprise policies — so every AI interaction can be permission-aware, policy-controlled, and audit-ready.

Talk to our team
Consent recordsWhat did each user agree to and for what purpose.
Customer preferencesHonored across every channel and AI workflow.
Data subject rightsOperationalized end-to-end.
Data inventoryKnow where personal & regulated data lives.
Data mappingTrace flows across systems, vendors, and AI models.
Purpose limitationsTie AI use to approved business purposes.
Retention rulesDon't feed expired data into AI.
Audit trailsProve every AI decision after the fact.
Strategic Data Control Layer for Enterprise AI

Govern enterprise AI before it governs you.

Discover usage, monitor calls, enforce policies, and activate governed, consented data for safe AI adoption — at enterprise scale.